Exact and Inexact Graph Matching: Methodology and Applications
暂无分享,去创建一个
[1] Edwin R. Hancock,et al. Computing approximate tree edit distance using relaxation labeling , 2003, Pattern Recognit. Lett..
[2] Horst Bunke,et al. A Graph-Theoretic Approach to Enterprise Network Dynamics (Progress in Computer Science and Applied Logic (PCS)) , 2006 .
[3] Steven Gold,et al. A Graduated Assignment Algorithm for Graph Matching , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Javier Larrosa,et al. Constraint satisfaction algorithms for graph pattern matching , 2002, Mathematical Structures in Computer Science.
[5] Eam Khwang Teoh,et al. Pattern recognition by graph matching using the Potts MFT neural networks , 1995, Pattern Recognit..
[6] Marcello Pelillo,et al. Replicator Equations, Maximal Cliques, and Graph Isomorphism , 1998, Neural Computation.
[7] Shinji Umeyama,et al. An Eigendecomposition Approach to Weighted Graph Matching Problems , 1988, IEEE Trans. Pattern Anal. Mach. Intell..
[8] A. John. MINING GRAPH DATA , 2022 .
[9] Benoit Huet,et al. Shape recognition from large image libraries by inexact graph matching , 1999, Pattern Recognit. Lett..
[10] Michael J. Fischer,et al. The String-to-String Correction Problem , 1974, JACM.
[11] Josef Kittler,et al. Combining Evidence in Probabilistic Relaxation , 1989, Int. J. Pattern Recognit. Artif. Intell..
[12] Horst Bunke,et al. A decision tree approach to graph and subgraph isomorphism detection , 1999, Pattern Recognit..
[13] Ah Chung Tsoi,et al. The Graph Neural Network Model , 2009, IEEE Transactions on Neural Networks.
[14] Horst Bunke,et al. Automatic learning of cost functions for graph edit distance , 2007, Inf. Sci..
[15] Edwin R. Hancock,et al. Structural Graph Matching Using the EM Algorithm and Singular Value Decomposition , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Kaspar Riesen,et al. Non-linear Transformations of Vector Space Embedded Graphs , 2008, PRIS.
[17] Hanan Samet,et al. Properties of Embedding Methods for Similarity Searching in Metric Spaces , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[18] G. Levi. A note on the derivation of maximal common subgraphs of two directed or undirected graphs , 1973 .
[19] John E. Hopcroft,et al. Linear time algorithm for isomorphism of planar graphs (Preliminary Report) , 1974, STOC '74.
[20] Alfred O. Hero,et al. A binary linear programming formulation of the graph edit distance , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Eugene M. Luks,et al. Isomorphism of graphs of bounded valence can be tested in polynomial time , 1980, 21st Annual Symposium on Foundations of Computer Science (sfcs 1980).
[22] R. Fisher. THE STATISTICAL UTILIZATION OF MULTIPLE MEASUREMENTS , 1938 .
[23] Kristina Schädler,et al. Comparing Structures Using a Hopfield-Style Neural Network , 1999, Applied Intelligence.
[24] J. Munkres. ALGORITHMS FOR THE ASSIGNMENT AND TRANSIORTATION tROBLEMS* , 1957 .
[25] Julian R. Ullmann,et al. An Algorithm for Subgraph Isomorphism , 1976, J. ACM.
[26] Thomas Gärtner,et al. On Graph Kernels: Hardness Results and Efficient Alternatives , 2003, COLT.
[27] Alfred V. Aho,et al. The Design and Analysis of Computer Algorithms , 1974 .
[28] Marco Gori,et al. Exact and approximate graph matching using random walks , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Kaspar Riesen,et al. On Lipschitz Embeddings of Graphs , 2008, KES.
[30] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[31] Kaspar Riesen,et al. Generalized Graph Matching for Data Mining and Information Retrieval , 2008, ICDM.
[32] C. Watkins. Dynamic Alignment Kernels , 1999 .
[33] Horst Bunke,et al. Inexact graph matching for structural pattern recognition , 1983, Pattern Recognit. Lett..
[34] Edwin R. Hancock,et al. Levenshtein distance for graph spectral features , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[35] Terry Caelli,et al. Inexact Graph Matching Using Eigen-Subspace Projection Clustering , 2004, Int. J. Pattern Recognit. Artif. Intell..
[36] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[37] Horst Bunke,et al. Self-organizing maps for learning the edit costs in graph matching , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[38] Alessio Micheli,et al. Neural Network for Graphs: A Contextual Constructive Approach , 2009, IEEE Transactions on Neural Networks.
[39] Kaspar Riesen,et al. Reducing the dimensionality of dissimilarity space embedding graph kernels , 2009, Eng. Appl. Artif. Intell..
[40] Martin A. Fischler,et al. The Representation and Matching of Pictorial Structures , 1973, IEEE Transactions on Computers.
[41] Horst Bunke,et al. Optimal quadratic-time isomorphism of ordered graphs , 1999, Pattern Recognit..
[42] Horst Bunke,et al. Matching graphs with unique node labels , 2004, Pattern Analysis and Applications.
[43] Zaïd Harchaoui,et al. Image Classification with Segmentation Graph Kernels , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[44] Edwin R. Hancock,et al. Spectral embedding of graphs , 2003, Pattern Recognit..
[45] A. Paone,et al. Discrete Time Relaxation Based on Direct Quadrature Methods for Volterra Integral Equations , 1999, Computing.
[46] Alessandro Sperduti,et al. Supervised neural networks for the classification of structures , 1997, IEEE Trans. Neural Networks.
[47] J. J. McGregor,et al. Backtrack search algorithms and the maximal common subgraph problem , 1982, Softw. Pract. Exp..
[48] Hans-Peter Kriegel,et al. Protein function prediction via graph kernels , 2005, ISMB.
[49] King-Sun Fu,et al. A graph distance measure for image analysis , 1984, IEEE Transactions on Systems, Man, and Cybernetics.
[50] William J. Christmas,et al. Structural Matching in Computer Vision Using Probabilistic Relaxation , 1995, IEEE Trans. Pattern Anal. Mach. Intell..
[51] Ali Shokoufandeh,et al. Indexing hierarchical structures using graph spectra , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Edwin R. Hancock,et al. Pattern Vectors from Algebraic Graph Theory , 2005, IEEE Trans. Pattern Anal. Mach. Intell..
[53] Horst Bunke,et al. Graph Edit Distance with Node Splitting and Merging, and Its Application to Diatom Idenfication , 2003, GbRPR.
[54] David Haussler,et al. Convolution kernels on discrete structures , 1999 .
[55] Josef Kittler,et al. Discrete relaxation , 1990, Pattern Recognit..
[56] Mario Vento,et al. Thirty Years Of Graph Matching In Pattern Recognition , 2004, Int. J. Pattern Recognit. Artif. Intell..
[57] Tariq S. Durrani,et al. A RKHS Interpolator-Based Graph Matching Algorithm , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[58] Anil K. Jain,et al. Feature Selection: Evaluation, Application, and Small Sample Performance , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[59] Edwin R. Hancock,et al. A Riemannian approach to graph embedding , 2007, Pattern Recognit..
[60] Kaspar Riesen,et al. Approximate graph edit distance computation by means of bipartite graph matching , 2009, Image Vis. Comput..
[61] Kaspar Riesen,et al. Graph Classification Based on Vector Space Embedding , 2009, Int. J. Pattern Recognit. Artif. Intell..
[62] Alessandro Sperduti,et al. A general framework for adaptive processing of data structures , 1998, IEEE Trans. Neural Networks.
[63] Horst Bunke,et al. Transforming Strings to Vector Spaces Using Prototype Selection , 2006, SSPR/SPR.
[64] W. Wallis,et al. A Graph-Theoretic Approach to Enterprise Network Dynamics , 2006 .
[65] Horst Bunke,et al. A graph distance metric based on the maximal common subgraph , 1998, Pattern Recognit. Lett..
[66] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[67] Edwin R. Hancock,et al. Structural Matching by Discrete Relaxation , 1997, IEEE Trans. Pattern Anal. Mach. Intell..
[68] Tatsuya Akutsu,et al. Graph Kernels for Molecular Structure-Activity Relationship Analysis with Support Vector Machines , 2005, J. Chem. Inf. Model..
[69] Horst Bunke,et al. Bridging the Gap between Graph Edit Distance and Kernel Machines , 2007, Series in Machine Perception and Artificial Intelligence.
[70] James C. Bezdek,et al. Nearest prototype classifier designs: An experimental study , 2001, Int. J. Intell. Syst..
[71] Antonio Robles-Kelly,et al. String Edit Distance, Random Walks And Graph Matching , 2002, Int. J. Pattern Recognit. Artif. Intell..
[72] Kaspar Riesen,et al. Fast Suboptimal Algorithms for the Computation of Graph Edit Distance , 2006, SSPR/SPR.
[73] Horst Bunke,et al. A Comparison of Algorithms for Maximum Common Subgraph on Randomly Connected Graphs , 2002, SSPR/SPR.
[74] King-Sun Fu,et al. A distance measure between attributed relational graphs for pattern recognition , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[75] Edwin R. Hancock,et al. Bayesian graph edit distance , 1999, Proceedings 10th International Conference on Image Analysis and Processing.
[76] Yuan Yao,et al. Combining flat and structured representations for fingerprint classification with recursive neural networks and support vector machines , 2003, Pattern Recognit..
[77] Horst Bunke,et al. On a relation between graph edit distance and maximum common subgraph , 1997, Pattern Recognit. Lett..
[78] Fritz Wysotzki,et al. Automorphism Partitioning with Neural Networks , 2004, Neural Processing Letters.
[79] Jignesh M. Patel,et al. TALE: A Tool for Approximate Large Graph Matching , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[80] David G. Stork,et al. Pattern Classification , 1973 .
[81] Kaspar Riesen,et al. Dissimilarity Based Vector Space Embedding of Graphs Using Prototype Reduction Schemes , 2009, MLDM.
[82] Horst Bunke,et al. A Quadratic Programming Approach to the Graph Edit Distance Problem , 2007, GbRPR.
[83] Nello Cristianini,et al. Kernel Methods for Pattern Analysis , 2003, ICTAI.
[84] Eam Khwang Teoh,et al. Pattern recognition by homomorphic graph matching using Hopfield neural networks , 1995, Image Vis. Comput..
[85] Miro Kraetzl,et al. Graph distances using graph union , 2001, Pattern Recognit. Lett..
[86] Abraham Kandel,et al. On the Minimum Common Supergraph of Two Graphs , 2000, Computing.
[87] Bernhard Schölkopf,et al. Dynamic Alignment Kernels , 2000 .
[88] Lawrence B. Holder,et al. Mining Graph Data: Cook/Mining Graph Data , 2006 .
[89] Mario Vento,et al. A (sub)graph isomorphism algorithm for matching large graphs , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[90] David S. Johnson,et al. Computers and Intractability: A Guide to the Theory of NP-Completeness , 1978 .
[91] Rui Xu,et al. Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.
[92] David G. Stork,et al. Pattern classification, 2nd Edition , 2000 .
[93] Jean-Philippe Vert,et al. Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA , 2002, NIPS.
[94] Bernhard Schölkopf,et al. Learning with kernels , 2001 .
[95] Robert P. W. Duin,et al. The Dissimilarity Representation for Pattern Recognition - Foundations and Applications , 2005, Series in Machine Perception and Artificial Intelligence.
[96] Gabriel Valiente,et al. A graph distance metric combining maximum common subgraph and minimum common supergraph , 2001, Pattern Recognit. Lett..
[97] John D. Lafferty,et al. Diffusion Kernels on Graphs and Other Discrete Input Spaces , 2002, ICML.
[98] Christine Solnon,et al. Reactive Tabu Search for Measuring Graph Similarity , 2005, GbRPR.
[99] Abraham Kandel,et al. Graph-Theoretic Techniques for Web Content Mining , 2005, Series in Machine Perception and Artificial Intelligence.
[100] F TichyWalter. The string-to-string correction problem with block moves , 1984 .
[101] Andrew K. C. Wong,et al. Entropy and Distance of Random Graphs with Application to Structural Pattern Recognition , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[102] Alexander J. Smola,et al. Kernels and Regularization on Graphs , 2003, COLT.
[103] J. van Leeuwen,et al. Graph Based Representations in Pattern Recognition , 2003, Lecture Notes in Computer Science.
[104] Alexander J. Smola,et al. Learning with kernels , 1998 .
[105] Kaspar Riesen,et al. Kernel k-Means Clustering Applied to Vector Space Embeddings of Graphs , 2008, ANNPR.
[106] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[107] Eam Khwang Teoh,et al. Self-organizing Hopfield network for attributed relational graph matching , 1995, Image Vis. Comput..
[108] Thomas Gärtner,et al. Kernels for structured data , 2008, Series in Machine Perception and Artificial Intelligence.